Improvised PHTs were frequently utilized. PHTs were clinically indicated in 51% of patients. Overall, 39 patients (27%) had a PHT that was inappropriately placed, five of which resulted in significant morbidity.
In summary, prehospital tourniquet application has become widely adopted in the civilian setting, frequently performed by civilian and non-EMS personnel. Of PHTs placed, nearly half had no clear indication for placement and over a quarter of PHTs were misapplied with notable associated morbidity. Results suggest that the topics of clinical indication and appropriate application of tourniquets may be important areas for continued focus in future tourniquet educational programs, as well as future quality assessment efforts.
level IIIStudy TypePrognostic study.
level IIIStudy TypePrognostic study.In March 2020, the novel coronavirus (COVID-19) became a global pandemic that would cause most in-person visits for clinical studies to be put on pause. Coupled with protective stay at home guidelines, clinical research at the Icahn School of Medicine at Mount Sinai Alzheimer's Disease Research Center (ISMMS ADRC) needed to quickly adapt to remain operational and maintain our cohort of research participants. Data collected by the ISMMS ADRC as well as from other National Institute on Aging (NIA) Alzheimer Disease centers, follows the guidance of the National Alzheimer Coordinating Center (NACC). However, at the start of this pandemic, NACC had no alternative data collection mechanisms that could accommodate these safety guidelines. To stay in touch with our cohort and to ensure continued data collection under different stages of quarantine, the ISMMS ADRC redeployed their work force to continue their observational study via telehealth assessment. On the basis of this experience and that of other centers, NACC was able to create a data collection process to accommodate remote assessment in mid-August. Here we review our experience in filling the gap during this period of isolation and describe the adaptations for clinical research, which informed the national dialog for conducting dementia research in the age of COVID-19 and beyond.The Everyday Cognition scale (ECog), a measure of everyday functioning developed in 2008, is sensitive to early detection and progression of neurodegenerative disease. The goal was to update ECog item content to ensure relevancy to contemporary older adults from diverse backgrounds.
Participants included 44 culturally diverse older adults (18 with normal cognition, 11 with mild cognitive impairment) and their study partners. Item understandability and relevance was evaluated using iterative interviewing methods that were analyzed using standard qualitative methods. On the basis of this information, items were modified, deleted, or developed as needed.
Of the 39 original items, 19 were revised, 3 new items were added (primarily to cover contemporary activities such as the use of technology), and 1 was deleted. The revised version (ECog-II) includes 41 items.
To ensure strong psychometric properties, and to facilitate harmonization of previously collected data, we preserved well over half of the items. Future work will validate the revised ECog by measuring associations with neuropsychological performance, external measures of disease, and other functional measures. Overall, the revised ECog will continue to be a useful tool for measuring cognitively relevant everyday abilities in clinical settings and intervention clinical trials.
To ensure strong psychometric properties, and to facilitate harmonization of previously collected data, we preserved well over half of the items. Future work will validate the revised ECog by measuring associations with neuropsychological performance, external measures of disease, and other functional measures. Overall, the revised ECog will continue to be a useful tool for measuring cognitively relevant everyday abilities in clinical settings and intervention clinical trials.The world has seen an explosion in mobile device technology over the past decade, in addition to the impact that COVID-19 has placed on nursing education programs. More specifically, mobile devices have afforded users with endless possibilities. This upsurge in mobile technology has altered the way people use and interact with their device. One such example is how these devices are being utilized for the purposes of learning due to social distancing guidelines. Thus, it becomes important to explore and understand those factors that will influence the use of mobile devices for learning. The purpose of this study was to explore variables that might influence the adoption of mobile devices among nursing faculty. The Unified Theory of Acceptance and Use of Technology served as the theoretical basis for this study and guiding framework. An exploratory quantitative survey research design was utilized to explore specific variables and their impact on mobile device adoption among participants. It was found that 85%, six of the seven research variables were statistically significant predictors of mobile device adoption. Mobile devices have the potential to leverage a wealth of resources for both users and faculty. https://www.selleckchem.com/products/caspofungin-acetate.html Therefore, recommendations for developing increased use of mobile device technology for teaching and learning will be suggested.Obtaining a diagnosis is an essential and integral part of physical and rehabilitation medicine (PRM) in practice and research. Standardized psychometric properties are required of any classifications, diagnostic criteria and diagnostic rules used. Physicians and researchers, inPRM, need to understand these properties to determine the accuracy and consistency of their diagnosis. Although chronic MSK pain disorders are among the highly prevalent disorders seen in PRM, limitations regarding existing diagnostic criteria for chronic MSK pain disorders still exist. Hence, the quest for developing diagnostic tools for chronic MSK pain that align with the standard properties remains open. are discussed with an example for existing diagnostic criteria for fibromyalgia. This paper primarily aims to provide an overview of standard psychometric properties. A secondary aim is to critically appraise the tools currently used to diagnose chronic musculoskeletal (MSK) pain disorders. The challenges and limitations of existing diagnostic tools are discussed.